JOURNAL ARTICLE

Automatic quality assessment for interferogram SAR stacks

Abstract

We propose a robust and reasonably fast approach to provide phase estimation and stable target (Persistent Scatterers, PS) detection from a set of repeated pass interferometric acquisitions. The major assumption is that, locally, the PS phase model is decomposed into the separable product of the intrinsic target phase times the optical path, that is common to all the targets in the estimation window. The Singular Value Decomposition (SVD) is exploited to get at one time a fast estimate of the local phase and the detection of stable targets. The estimated phases are then exploited to measure the PS coherence over the whole image or in image blocks. Being sensible to acquisition and processing artifacts, the PS coherence is a valuable tool for automatic image quality assessment. Results are shown with real datasets in both single and full polarization.

Keywords:
Computer science Coherence (philosophical gambling strategy) Singular value decomposition Interferometry Image quality Artificial intelligence Computer vision Synthetic aperture radar Phase (matter) Algorithm Pattern recognition (psychology) Image (mathematics) Optics Mathematics Physics Statistics

Metrics

5
Cited By
2.48
FWCI (Field Weighted Citation Impact)
8
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Synthetic Aperture Radar (SAR) Applications and Techniques
Physical Sciences →  Engineering →  Aerospace Engineering
Advanced SAR Imaging Techniques
Physical Sciences →  Engineering →  Aerospace Engineering
Soil Moisture and Remote Sensing
Physical Sciences →  Environmental Science →  Environmental Engineering

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